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Bridging the Semantic Gap in Image and Video Analysis

This book presents cutting-edge research on various ways to bridge the semantic gap in image and video analysis. The respective chapters address different stages of image processing, revealing that the first step is a future extraction, the second is a segmentation process, the third is object recog...

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Bibliographic Details
Other Authors: Kwaśnicka, Halina (Editor), Jain, Lakhmi C. (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Intelligent Systems Reference Library
Subjects:
Computer Vision
Computational Intelligence
Artificial Intelligence
Signal, Speech And Image Processing
Semiotics
Signal Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Semantic Gap in Image and Video Analysis: An Introduction
  • Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study
  • Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images
  • Active Partitions in Localization of Semantically Important Image Structures
  • Model-based 3D Object recognition in RGB-D Images
  • Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning
  • Deep Learning – a New Era in Bridging the Semantic Gap

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